{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "88UU4DFiiKy2"
      },
      "outputs": [],
      "source": [
        "from matplotlib import pyplot as plt\n",
        "import pandas as pd\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create data\n",
        "df=pd.DataFrame({'x_axis': range(1,101), 'y_axis': np.random.randn(100)*15+range(1,101), 'z': (np.random.randn(100)*15+range(1,101))*2 })"
      ],
      "metadata": {
        "id": "YP_4240YiRVe"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# plot with matplotlib\n",
        "plt.plot( 'x_axis', 'y_axis', data=df, marker='o', color='mediumvioletred')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 265
        },
        "id": "UZ7fT4fNiZsS",
        "outputId": "00528aa0-d77d-4c1d-9ad0-643015bffdc7"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create data\n",
        "df=pd.DataFrame({'x_axis': range(1,101), 'y_axis': np.random.randn(100)*15+range(1,101), 'z': (np.random.randn(100)*15+range(1,101))*2 })\n",
        "\n",
        "# Just load seaborn & set theme and the chart looks better:\n",
        "import seaborn as sns\n",
        "sns.set_theme()\n",
        "\n",
        "# Plot\n",
        "plt.plot( 'x_axis', 'y_axis', data=df, marker='o', color='mediumvioletred')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 269
        },
        "id": "F-ARYlaqigyy",
        "outputId": "bb2b1352-92d4-4753-a2ed-ed3c7a816b23"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create dataset\n",
        "height = [3, 12, 5, 18, 45]\n",
        "bars = ('A', 'B', 'C', 'D', 'E')\n",
        "x_pos = np.arange(len(bars))"
      ],
      "metadata": {
        "id": "_IHRfUFiil7B"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create bars\n",
        "plt.bar(x_pos, height)\n",
        " \n",
        "# Create names on the x-axis\n",
        "plt.xticks(x_pos, bars)\n",
        " \n",
        "# Show graphic\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 268
        },
        "id": "d9RursMSjJPZ",
        "outputId": "0b8f4b0c-80ab-4b7f-a1c7-055a3e84e7ab"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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XX37RtGnTnB4DCSDo/3Lw4EHdcccd+vrrrxUMBhUMBvXhhx9q9+7dTo+WdrFYTIcOHVJZWZnTo6RFWVmZKioq5PP51N3dLen/foLorl27dPHiRYenS68DBw5ox44dWrx4sdOjIAHsof9LY2OjFi5ceN1rDz74oGKxmH788Uc99NBDDk2WPtf2Ea9cuaJp06bpxRdfdHqktHnzzTfV0NCgJ598UqNGjVIsFtOjjz6aEXc5LV++vO+2xalTp+r999/PqDtcpOv30CVpw4YNuv/++x2cKDH8cC4AMIItFwAwgqADgBEEHQCMIOgAYARBBwAjCDoAGEHQAcAIgg4ARvwPnhuqZDGo+h4AAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}